Dec 2022 – Present · 3 yrs 6 mos · United Kingdom · On-site

• Leading the development of AI-driven healthcare solutions at Srotas Health, leveraging Large Language Models (LLMs) and custom LLM agents to streamline patient-trial matching, predict clinical outcomes, and drive data integration in oncology and clinical research.
• Architecting ensemble models tailored for complex healthcare data, combining NLP-based predictive models with domain-specific embeddings, enhancing model accuracy and interpretability for clinical applications.
• Building advanced NLP pipelines using LangChain and RAGs to process unstructured patient records and clinical documentation, enabling Srotas Health to deliver real-time, context-aware insights for clinicians and researchers.
• Building scalable infrastructure on Kubernetes (AKS and EKS) with Terraform to support secure, high-performance computing environments; and seamless deployment across cloud and on-prem environments.
• Optimizing ML workflows for healthcare-specific compliance (HIPAA, GDPR), with a focus on real-time data ingestion, to support Srotas Health’s end-to-end EHR interoperability and patient data analysis.
• Building a specialized AI engineering team, driving R&D in machine learning for clinical trials and oncology, and advancing Srotas Health’s technical roadmap in scalable AI solutions for healthcare impact.

Oct 2021 – Dec 2022 · 1 yr 2 mos

• Architected and implemented FHIR-compliant data integrations, ensuring seamless interoperability across healthcare ecosystems.
• Built end-to-end data pipelines using Azure Data Factory (ADF), enabling efficient data normalization and ETL processes.
• Streamlined large-scale data ingestion and transformation, ensuring high accuracy and reliability for healthcare applications.
• Developed NLP frameworks for clinical terminology mapping, using ICD-10 and SNOMED-CT, improving coding accuracy and clinical data management.
• Enhanced healthcare data utility through precise, NLP-powered semantic tagging, enabling better insights for clinical use cases.
• Engineered a framework for asynchronous health data capture from wearables using Apple SensorKit, including data from diverse sensors.
• Designed ML algorithms to analyze wearable-captured data, studying environmental effects on health metrics like sleep cycles and menstrual patterns.
• Enhanced personalized insights by identifying patterns and correlations, supporting tailored healthcare interventions and recommendations.

May 2019 – Jan 2021 · 1 yr 8 mos

• ‣ As a Specialist Senior I am responsible for orchestrating end-to- end delivery, which includes architecture & design, product development and delivery.
• ‣ Researched, designed, and implemented an innovative white-labeled COVID-19 contact-tracing mobile solution for both iOS and Android and then forked for multiple clientele. Shaped this solution out of a Hackathon idea to enterprise-level deployment in two months followed by continuous product updates in production.
• ‣ Designed and developed a top-notch digital product for onboarding multiple research subjects and performing clinical trails across geographies leveraging LSHC frameworks such as HealthKit, ResearchKit for biometrics, surveys, and daily tasks.
• ‣ Built multiple Digital solutions for the observational study of Multiple Myeloma for both patient and HCP. It enabled researchers to study the adverse effects of the disease and HCP to provide the care to the patients enrolled in the study. This solution helped practitioners with great insights into the patient’s care plan and progress with real-time updates, video consultations, and visualisations.
• ‣ Highly involved in entire system architecture design and developed a series of iPad applications to transform highly manual and paper based clinical supply chain operations into a digitally enabled supply chain network

Feb 2016 – May 2019 · 3 yrs 3 mos

• ‣ As a Technology Consultant worked on a Health-care solution for Pharma industry leveraging Apple’s HealthKit, ResearchKit & AWS. My role comprehends of architecting, coding, mentoring and developing SDK level custom components.
• ‣ Architected and built a native iOS application for an airlines which helps the customers manage their trips, check-ins, trip recommendations & conveyance. Also worked as a Full-Stack developer contributing to both Frontend and Backend.
• ‣ Developed a native iOS application for tracking & analysing user driving habits, patterns using telematics SDK to calculate car insurance premium based on the scores achieved for Allianz.
• ‣ Worked on other initiatives for showcasing AR & Chatbot capabilities.

Jun 2015 – Feb 2016 · 8 mos · Greater Hyderabad Area

• ‣ Took up the role of Senior iOS developer. Managed a team of 5 iOS developers.
• ‣ Developed a Finance app used by Sales People for Assets, Liabilities & Projections

Jun 2013 – Jun 2015 · 2 yrs

• ‣ Served as a Mobile consultant at onsite.
• ‣ Developed Work Order Scheduling, Dispatch and Time sheeting applications.
• ‣ Developed 18 enterprise native iOS applications for NationalGrid using bleeding edge
• technologies like SMP, ODATA, Objective-c, Afaria, ARCGIS for multiple form factors.

Jun 2011 – Jun 2013 · 2 yrs

• ‣ Completed iOS work for various clients which includes enterprise apps such as Mobile
• Mortgage center, GAS/Electricity Distribution statistics apps, Compliance check Apps
• ‣ Developed an Augmented reality app using OpenCV for painting a house in real time.